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Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
Explores Huffman coding by comparing it to organizing a kitchen for efficiency.
Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.
Covers information measures like entropy, joint entropy, and mutual information in information theory and data processing.
Delves into challenges of learning from probabilistic models, covering computational complexity, data reconstruction, and statistical gaps.
